Generative Adversarial Network Sculptures
![](https://freight.cargo.site/t/original/i/eb4e356b4c088bce2329dc9dc22f3cb7e8b6142d3a42e9e4b21b6fc52b87498f/13.2_e_smith.jpg)
![](https://freight.cargo.site/t/original/i/72c4849ccf14099d01c72f15da657ad1f84196ecfb3b6759976c764541075233/gansculpt2.jpg)
![](https://freight.cargo.site/t/original/i/acfab73071ac7b527991f8b80d9be75f0695e57d047ac9a874f834c12e9ec2d4/ganwallnoodle.jpg)
![](https://freight.cargo.site/t/original/i/e33432a73029dac12014ba25abcf8561077cd613ef9396b5bda735ea1cdbe8e9/20210512_Erin_Smith_19_web.jpg)
After feeding hundreds of images of my past work into an AI generator (GAN), Artificial Intelligence created 2 dimensional images inspired by my past work. I then hand built work from these generated images.
A Generative Adversarial Network (GAN) is a system which generates new data through dynamic learning. The GAN creates images that are then run through a discriminative network which deciphers whether the created image is similar enough to the source. It works in this manner to continually produce more convincing images. Working with GAN, I too am a discriminator in this process, I decide.
“Yes, I like this image.”
“No, it doesn’t look like anything I’ve made before.”
“Yes, I will take that image and turn it into something that I would like to make.”
And like that, a computer-human relationship and collaboration is formed. Here, I work with 2-dimensional digital files created by the GAN and create my own version of the GAN’s output. I have only one side of the form to work from, so I must interpret the unknown intuitively.
A Generative Adversarial Network (GAN) is a system which generates new data through dynamic learning. The GAN creates images that are then run through a discriminative network which deciphers whether the created image is similar enough to the source. It works in this manner to continually produce more convincing images. Working with GAN, I too am a discriminator in this process, I decide.
“Yes, I like this image.”
“No, it doesn’t look like anything I’ve made before.”
“Yes, I will take that image and turn it into something that I would like to make.”
And like that, a computer-human relationship and collaboration is formed. Here, I work with 2-dimensional digital files created by the GAN and create my own version of the GAN’s output. I have only one side of the form to work from, so I must interpret the unknown intuitively.
![](https://freight.cargo.site/t/original/i/dcdf7ef0dfc99cf54b2e738e04804058e435be62f0472ab1de52946105fa5f26/13.3_e_smith.jpg)
![](https://freight.cargo.site/t/original/i/90deb439de3a72ded070e92fcb4cf778bbec0a8823ef2ae20dd555c0f3c28bc8/ganfinger.jpg)
![](https://freight.cargo.site/t/original/i/2c8afd19c168d3a9e2ca0f1c0da03e82c9e22af831bd45ea915c533b3696de32/20210512_Erin_Smith_21-1_web.jpg)
![](https://freight.cargo.site/t/original/i/006505b59db5af8f0059e507c8291b379a3b7ff5ab02c7cf6c1c0a7d9d21e36e/20210512_Erin_Smith_20_web.jpg)
![](https://freight.cargo.site/t/original/i/2f9e67ad7fb84e4e7920b56809c6bc25db813e4a502a59eab1ce39e214fb385d/WIP.jpg)
![](https://freight.cargo.site/t/original/i/81e5a22dae0763bd0efbc46cade3fb11fe33c365c33b969fcb2f3cb1bce3dfae/IMG_8354.jpg)
![](https://freight.cargo.site/t/original/i/b1b9341a936780bca22de9c593e77f8eab6ef16a8c5137841178106773717883/Ganreelweb.jpg)
![](https://freight.cargo.site/t/original/i/95cc6bb24b7abc74d7d0dab7a18566aa8b293c7e2cfe2484379147487781f304/ganinstallweb2.jpg)
![](https://freight.cargo.site/t/original/i/93513aca5fd5d9bd5209a532e8982f442eeacb78f9e152ca6d814ae27c35c348/ganinstallweb3.jpg)
![](https://freight.cargo.site/t/original/i/94fa6e1d0fbefe57de09c0b6b4e983236f98ed3233083a709e55126c48cbf12f/ganinstallweb.jpg)
![](https://freight.cargo.site/t/original/i/d75d7f47951222aafc46dfb1866c6e51a92f45ff3dffe89b542b902d75c2a580/GAN2.jpg)
![](https://freight.cargo.site/t/original/i/e3455b6657d215377cd968172a900f1c5edc02103ce02abf503a74c9fdaaa97f/20210512_Erin_Smith_15.jpg)